Applied AI & Automation

Overview

A practical programme for learners who want to design useful AI-assisted workflows with human approval, secure data handling and clear documentation. PentestHint Academy positions Applied AI & Automation as a practical supervised learning path, not a generic AI course. The delivery model is 3 Months, Remote, 20 Classes, 1 Hour per Class, 5 Days per Week, 40 Supervised Working Days, and programme fee INR 6,999. The first month includes 20 live practical classes, conducted one hour a day, five days a week. The following two months focus on supervised remote internship and live-project work, documentation, mentor review and final project demonstration. Certificate model: Learners who meet attendance, assignment, project, documentation and review requirements receive a Three-Month Training Certificate and a Remote Internship / Live Project Certificate from PentestHint Academy. Target audience: Cybersecurity and IT professionals, Operations professionals, Aspiring automation engineers, Developers and analysts, Learners seeking practical AI workflow skills. Prerequisites: Basic computer and internet workflow familiarity, Comfort with structured thinking and process mapping, Basic API or spreadsheet experience is helpful, No machine-learning research background required. Month 1 roadmap: Week 1 AI automation foundations: AI automation fundamentals, Identifying repeatable business/security workflows, Process mapping, Human approval and control points, Responsible AI automation design. Week 2 APIs, data and orchestration: APIs and system integration fundamentals, Structured data, JSON and workflow inputs, Automation triggers and task orchestration, Notifications and exception handling, Secure data handling. Week 3 Assistants, retrieval and validation: AI agents and copilots, Knowledge assistants and retrieval concepts, Document and information workflows, Validation queues, Audit logging and workflow visibility. Week 4 Architecture, controls and handover: Automation architecture, Security-by-design controls, Access permissions and approvals, Testing automation workflows, Documentation and handover. Supervised live project examples: Approved workflow-automation prototype, Internal knowledge assistant concept, Document-processing and validation workflow, API-connected operational assistant, Automation architecture and handover documentation. Required project outputs: Workflow map, Automation architecture diagram, Prototype or workflow configuration, Validation and exception-handling notes, Audit-log and handover documentation. Tools and technologies: Workflow mapping, REST APIs, JSON, structured data, approved AI tools or local models, validation queues, document processing, notification workflows and secure handover documentation. Learning outcomes: Map repeatable workflows and identify automation checkpoints, Design AI-assisted workflows with human approval controls, Use APIs, structured inputs and exception-handling patterns, Prepare automation documentation and handover notes. Is this only for cybersecurity learners? No. It is useful for cybersecurity, IT, operations, development and analyst learners who want practical AI workflow skills. Will I build real automation? Learners build approved prototypes and supervised workflow outputs using safe internal or lab scenarios. Does this course require coding? Some technical understanding helps, but the programme focuses on workflow thinking, APIs, structured data, controls and implementation documentation. Will I receive certificates? Learners who meet attendance, assignment, project, documentation and review requirements receive a Three-Month Training Certificate and a Remote Internship / Live Project Certificate from PentestHint Academy. Does the course promise job placement? No. PentestHint Academy focuses on practical capability, documentation and mentor-reviewed learning outputs without job or salary guarantees.

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